module_8427.py•2.6 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 8427 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def serialize_object_0(payload: UUID, context: UUID) -> int:
"""Process payload and context to produce result.
Args:
payload: Input UUID value
context: Additional UUID parameter
Returns:
Processed int result
"""
result = f"{payload} - {context}"
return result # type: ignore[return-value]
class TaskExecutor0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, parameters: dict[str, Any]) -> None:
"""Initialize TaskExecutor0.
Args:
parameters: Configuration dict[str, Any]
"""
self.parameters = parameters
def execute(self, payload: datetime) -> bool:
"""Perform execute operation.
Args:
payload: Input datetime parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.parameters}"
def transform_output_1(parameters: dict[str, Any], attributes: str) -> str:
"""Process parameters and attributes to produce result.
Args:
parameters: Input dict[str, Any] value
attributes: Additional str parameter
Returns:
Processed str result
"""
result = f"{parameters} - {attributes}"
return result # type: ignore[return-value]
def fetch_resource_2(config: bool, settings: dict[str, Any]) -> dict[str, Any]:
"""Process config and settings to produce result.
Args:
config: Input bool value
settings: Additional dict[str, Any] parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{config} - {settings}"
return result # type: ignore[return-value]
def initialize_service_3(options: str, properties: dict[str, Any]) -> str:
"""Process options and properties to produce result.
Args:
options: Input str value
properties: Additional dict[str, Any] parameter
Returns:
Processed str result
"""
result = f"{options} - {properties}"
return result # type: ignore[return-value]